This paper presents a quantitative analysis of the error of the edge angle measurement obtained from edge detector in the presence of grey level gaussian noise. Our analysis shows that the uncertainty of the angle measurement is only related to the grey level noise power and the gradient of the edge point at which the angle is measured. Both image independent upper bound and image dependent est...

We analyze the contributions of various error sources to uncertainty in the far-infrared optical constants (refractive index and absorption coefficient) measured by terahertz (THz) time-domain spectroscopy. We focus our study on the influence of noise. This noise study is made with a thick slab of transparent material for which the THz transmitted signal exhibits temporal echoes owing to reflec...

background: in dental practical classes, the acoustic environment is characterized by high noise levels in relation to other teaching areas. the aims of this study were to measure noise levels produced during the different dental learning clinics, by equipments used in dental learning areas under different working conditions and by used and brand new handpieces under different working condition...

noise removal operation is commonly applied as pre-processing step before subsequent image processing tasks due to the occurrence of noise during acquisition or transmission process. a common problem in imaging systems by using cmos or ccd sensors is appearance of  the salt and pepper noise. this paper presents cellular automata (ca) framework for noise removal of distorted image by the salt an...

Adaptive feedback noise attenuation is a very efficient way of strongly attenuating multiple tonal and narrow band disturbances with unknown time varying characteristics. These adaptive schemes implement the internal model principle (IMP) for canceling combined Youla Kucera (YK) parametrization which allows to directly tune disturbance compensation filter without explicit identification model. ...

<p>Spectrum sensing in cognitive radio (CR) is a critical process as it directly influences the accuracy of detection. Noise uncertainty affects reliability detecting vacant holes spectrum, thus limiting access that spectrum by secondary users (SUs). In such uncertain environment; SUs sense received power primary user (PU) independently with different measures signal-to-noise ratio (SNR)....

We propose a list-decoding scheme for reconstruction codes in the context of uniform-tandem-duplication noise, which can be viewed as an application associative memory model to this setting. find uncertainty associated with $m>2$ strings (where previous paper considered $m=2$) asymptotic terms, where code-words are taken from error-correcting code. Thus, we trade-off between design minimum dist...